Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome

Abstract Ectopia lentis is a hallmark of Marfan syndrome (MFS), a genetic connective tissue disorder affecting 1/5000 to 1/10 000 individuals worldwide. Early detection in ophthalmology clinics and timely intervention of cardiovascular complications can be lifesaving. In this study, a modified prote...

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Main Authors: Yumeng Shi, Jiahui Chen, Lei Cai, Xueling Zhang, Zexu Chen, Jin Yang, Yongxiang Jiang, Yi Lu
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202303161
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author Yumeng Shi
Jiahui Chen
Lei Cai
Xueling Zhang
Zexu Chen
Jin Yang
Yongxiang Jiang
Yi Lu
author_facet Yumeng Shi
Jiahui Chen
Lei Cai
Xueling Zhang
Zexu Chen
Jin Yang
Yongxiang Jiang
Yi Lu
author_sort Yumeng Shi
collection DOAJ
description Abstract Ectopia lentis is a hallmark of Marfan syndrome (MFS), a genetic connective tissue disorder affecting 1/5000 to 1/10 000 individuals worldwide. Early detection in ophthalmology clinics and timely intervention of cardiovascular complications can be lifesaving. In this study, a modified proteomics workflow with liquid chromatography‐tandem mass spectrometry (LC‐MS/MS)‐based data‐independent acquisition (DIA) and field asymmetric ion mobility spectrometry (FAIMS) to profile the proteomes of aqueous humor (AH) and lens tissue from MFS children with ectopia lentis is utilized. Over 2300 and 2938 comparable proteins are identified in AH and the lens capsule, respectively. Functional enrichment analyses uncovered dysregulation of complement and coagulation‐related pathways, collagen binding, and cell adhesion in MFS. Through weighted correlation network analysis (WGCNA) and machine learning, distinct modules associated with clinical traits are constructed and a unique biomarker panel (Q14376, Q99972, P02760, Q07507; gene names: GALE, MYOC, AMBP, DPT) is defined. These biomarkers are further validated using advanced parallel reaction monitoring (PRM) in an independent patient cohort. The results provide novel insights into the proteome characterization of ectopia lentis and offer a promising approach for developing a valuable biomarker panel to aid in the early diagnosis of Marfan syndrome via AH proteome.
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spelling doaj.art-0d8b5d00ed14427d813e4a5148267f492024-02-09T08:26:35ZengWileyAdvanced Science2198-38442024-02-01116n/an/a10.1002/advs.202303161Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan SyndromeYumeng Shi0Jiahui Chen1Lei Cai2Xueling Zhang3Zexu Chen4Jin Yang5Yongxiang Jiang6Yi Lu7Eye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaEye Institute and Department of Ophthalmology, Eye and ENT Hospital Fudan University Shanghai 200031 ChinaAbstract Ectopia lentis is a hallmark of Marfan syndrome (MFS), a genetic connective tissue disorder affecting 1/5000 to 1/10 000 individuals worldwide. Early detection in ophthalmology clinics and timely intervention of cardiovascular complications can be lifesaving. In this study, a modified proteomics workflow with liquid chromatography‐tandem mass spectrometry (LC‐MS/MS)‐based data‐independent acquisition (DIA) and field asymmetric ion mobility spectrometry (FAIMS) to profile the proteomes of aqueous humor (AH) and lens tissue from MFS children with ectopia lentis is utilized. Over 2300 and 2938 comparable proteins are identified in AH and the lens capsule, respectively. Functional enrichment analyses uncovered dysregulation of complement and coagulation‐related pathways, collagen binding, and cell adhesion in MFS. Through weighted correlation network analysis (WGCNA) and machine learning, distinct modules associated with clinical traits are constructed and a unique biomarker panel (Q14376, Q99972, P02760, Q07507; gene names: GALE, MYOC, AMBP, DPT) is defined. These biomarkers are further validated using advanced parallel reaction monitoring (PRM) in an independent patient cohort. The results provide novel insights into the proteome characterization of ectopia lentis and offer a promising approach for developing a valuable biomarker panel to aid in the early diagnosis of Marfan syndrome via AH proteome.https://doi.org/10.1002/advs.202303161aqueous humor proteomicsDIAectopia lentisFAIMSMarfan syndrome
spellingShingle Yumeng Shi
Jiahui Chen
Lei Cai
Xueling Zhang
Zexu Chen
Jin Yang
Yongxiang Jiang
Yi Lu
Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
Advanced Science
aqueous humor proteomics
DIA
ectopia lentis
FAIMS
Marfan syndrome
title Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
title_full Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
title_fullStr Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
title_full_unstemmed Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
title_short Uncovering the Hidden World of Aqueous Humor Proteins for Discovery of Biomarkers for Marfan Syndrome
title_sort uncovering the hidden world of aqueous humor proteins for discovery of biomarkers for marfan syndrome
topic aqueous humor proteomics
DIA
ectopia lentis
FAIMS
Marfan syndrome
url https://doi.org/10.1002/advs.202303161
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